Optimal dynamic scheduling of a power generation system to satisfy multiple criteria

Abstract

A computer algorithm for the optimal scheduling of generators in a power system is presented and tested. The algorithm, based on goal programming, automatically and dynami cally schedules the output of each generator in the system for optimal operation. The optimal operation can take into consideration multiple objectives such as economy, security, and reduction of pollution as well as practical constraints.

To validate and test the algorithm, an example system of 5 generators, 10 busses, and 11 transmission lines is optimized for two objec tives: minimal generation cost and minimal emission of nitrous oxides (NOx). Hourly changes in total power demand in the range of 90% to 110% are considered together with a constraint of maximum permissible total NOx emission. Other practical equality and inequality constraints are incorporated into the optimiza tion algorithm.

The simulation results demonstrate that the outputs of the generators can be changed smoothly and dynamically. Furthermore, using the algorithm, computer control is practicable either by direct on-line optimization or by using the feasible operation region generated as a small data-base by off-line computation.